Advancing deep single cell analytics

About

SoliCyte is an early-stage, privately-held company based in Los Angeles.   Our mission is to develop better tools and methods for analyzing the molecular composition of single cells.  This mission stems from 2 motivations.  First, we strive to develop methods that generate molecular data from small numbers of cells that match or exceed data generated from the highest performing methods using bulk specimens comprised of thousands to millions of cells.  This commitment to “deep” analytics contrasts with many single cell analytic platforms where analyses are narrowly focused and used to screen for specific molecular features. Deep analytics of single cells promises to reduce sample input requirements for comprehensive analyses. Our second motivation is to develop methods that have sufficiently high throughput to be applied to populations of cells.  By supplanting analyses of cell homogenates with parallel analyses of single cells, it will be possible to identify the molecularly distinct cell types present in samples.  Most all samples of cells are heterogeneous and rarely are 2 samples identical.  Samples can contain a multitude of different molecular profiles due to the presence of distinct cell types, genetic or epigenetic heterogeneity, cell cycle asynchrony and/or differences in environmental exposures. Methods that can define the molecularly distinct cell types present in samples have broad application in biomedical research and clinical diagnostics.

As a starting point, we are working on developing a single cell genome sequencing platform.  This platform combines novel methods for generating sequencing libraries with a unique liquid handling platform.

We hope to provide more details about the team and our progress in the coming months.

Contact

Please reach out to us if you’d like to learn more about SoliCyte. If you are passionate about single cell molecular diagnostics and/or microfluidics and are interested in working with us, we’d also love to hear from you.

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